Four college teams – UC Berkeley, UC Davis, Cal State University San Bernardino, and Embry-Riddle Aeronautical University – will square off at Berkeley Lab on Dec. 1 as part of DOE’s fourth collegiate CyberForce Competition. The event aims to address the cybersecurity capability gap and increase awareness around energy critical infrastructure.

New supercomputer simulations by climate scientists at Lawrence Berkeley National Laboratory have shown that climate change intensified the amount of rainfall in recent hurricanes such as Katrina, Irma, and Maria by 5 to 10 percent. They further found that if those hurricanes were to occur in a future world that is warmer than present, those storms would have even more rainfall and stronger winds.

In recognition of National Cybersecurity Awareness Month, cybersecurity expert Sean Peisert of Berkeley Lab discusses new methods that have the potential to keep our energy infrastructure safe from a cyberattack.

Berkeley Lab and UC Berkeley today announced the formation of Berkeley Quantum, a partnership designed to accelerate and expand innovation in quantum information science (QIS). Participants in Berkeley Quantum projects will contribute by bringing their strengths in QIS research, theory, algorithms, and applications to help solve, together, some of the most difficult problems in quantum science.

After serving four years as Berkeley Lab’s Associate Director for Energy Technologies, Ramamoorthy Ramesh will be returning to his research in ultra low-power electronics while also helping to lead a major Berkeley Lab research initiative in next-generation, energy-efficient microelectronics. This new initiative has been dubbed “Beyond Moore’s Law,” as it seeks the solution to what

Competing in a fictitious high-stakes scenario, a group of scientists at Berkeley Lab bested two dozen other teams in a months-long, data-driven scavenger hunt for simulated radioactive materials in a virtual urban environment.

With unprecedented resolution, scientists and engineers are simulating precisely how a large-magnitude earthquake along the Hayward Fault would affect different locations and buildings across the San Francisco Bay Area.

A team of researchers from Berkeley Lab and UC Berkeley are developing innovative machine learning tools to pull contextual information from scientific datasets and automatically generate metadata tags for each file. Scientists can then search these files via a web-based search engine for scientific data, called Science Search, that the Berkeley team is building.

The team behind Project Jupyter, an effort pioneered by Fernando Pérez, an assistant professor of statistics at UC Berkeley and staff scientist in the Usable Software Systems Group at Berkeley Lab’s Computational Research Division, has been honored with an Association of Computing Machinery Software System Award for developing a tool that has had a lasting influence on computing.